MultiMin

EXAMPLES

  • Tutorials and Examples
    • Mixture of Gaussians (MoG): quickstart
    • Mixture of Gaussians (MoG): A tutorial
    • Truncated multivariate normals: a tutorial
    • Asteroid orbital elements: an application of multimin
    • Fit of single-valued functions (experimental): tutorial
    • High-performance MoG calculations
    • Comparison with scikit-learn’s GaussianMixture
    • Density plot tutorial

API Reference

  • Multi-dimensional gaussian fit
    • Main Features
    • Usage
    • FitFunctionMoG
      • FitFunctionMoG.X
      • FitFunctionMoG.F
      • FitFunctionMoG.normalization
      • FitFunctionMoG.fit_data()
      • FitFunctionMoG.plot_fit()
      • FitFunctionMoG.pmap()
      • FitFunctionMoG.quality_of_fit()
      • FitFunctionMoG.set_bounds()
      • FitFunctionMoG.set_initial_params()
      • FitFunctionMoG.set_params()
    • FitMoG
      • FitMoG.ngauss
      • FitMoG.nvars
      • FitMoG.mog
      • FitMoG.solution
      • FitMoG.Ndim
      • FitMoG.Ncorr
      • FitMoG.minparams
      • FitMoG.scales
      • FitMoG.uparams
      • FitMoG.fit_data()
      • FitMoG.log_l()
      • FitMoG.norm_log_l()
      • FitMoG.plot_fit()
      • FitMoG.pmap()
      • FitMoG.quality_of_fit()
      • FitMoG.save_fit()
      • FitMoG.set_bounds()
      • FitMoG.set_initial_params()
      • FitMoG.set_params()
      • FitMoG.update_params()
    • MixtureOfGaussians
      • MixtureOfGaussians.ngauss
      • MixtureOfGaussians.nvars
      • MixtureOfGaussians.mus
      • MixtureOfGaussians.weights
      • MixtureOfGaussians.sigmas
      • MixtureOfGaussians.rhos
      • MixtureOfGaussians.Sigmas
      • MixtureOfGaussians.params
      • MixtureOfGaussians.stdcorr
      • MixtureOfGaussians.drop()
      • MixtureOfGaussians.get_function()
      • MixtureOfGaussians.pdf()
      • MixtureOfGaussians.plot_pdf()
      • MixtureOfGaussians.plot_sample()
      • MixtureOfGaussians.rvs()
      • MixtureOfGaussians.sample_mog_likelihood()
      • MixtureOfGaussians.set_domain()
      • MixtureOfGaussians.set_params()
      • MixtureOfGaussians.set_sigmas()
      • MixtureOfGaussians.set_stdcorr()
      • MixtureOfGaussians.tabulate()
      • MixtureOfGaussians.update_params()
    • MultiPlot
      • MultiPlot.N
      • MultiPlot.M
      • MultiPlot.fw
      • MultiPlot.fs
      • MultiPlot.fig
      • MultiPlot.axs
      • MultiPlot.axp
      • MultiPlot.properties
      • MultiPlot.tight_layout()
      • MultiPlot.set_labels()
      • MultiPlot.set_ranges()
      • MultiPlot.set_tick_params()
      • MultiPlot.sample_hist()
      • MultiPlot.sample_scatter()
      • MultiPlot.mog_pdf()
      • MultiPlot.mog_contour()
      • MultiPlot.mog_contour()
      • MultiPlot.mog_pdf()
      • MultiPlot.reset_ranges()
      • MultiPlot.sample_hist()
      • MultiPlot.sample_scatter()
      • MultiPlot.set_labels()
      • MultiPlot.set_ranges()
      • MultiPlot.set_tick_params()
      • MultiPlot.tight_layout()
    • Stats
      • Stats.calc_correlations_from_covariances()
      • Stats.calc_covariance_from_correlations()
      • Stats.calc_covariance_from_rotation()
      • Stats.flatten_symmetric_matrix()
      • Stats.gen_index()
      • Stats.phi
      • Stats.set_matrix_off_diagonal()
      • Stats.unflatten_symmetric_matrix()
    • Util
      • Util.DTIME
      • Util.DUTIME
      • Util.TIME
      • Util.TIMESTART
      • Util.cos
      • Util.docstring_summary()
      • Util.el_time()
      • Util.error_msg()
      • Util.exp
      • Util.f2u()
      • Util.get_data()
      • Util.log
      • Util.logit_transform()
      • Util.mantisa_exp()
      • Util.nmd()
      • Util.props_to_properties()
      • Util.sin
      • Util.t_if()
      • Util.timer()
      • Util.tnmd()
      • Util.true_anomaly_to_mean_anomaly()
      • Util.u2f()
    • multimin_watermark()
  • C-Optimized MoG
    • mog_c()
    • nmd_c()
    • tmog_c()
    • tnmd_c()
MultiMin
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